iMCBridge vs Blob

Access and control your own Mac or Windows PC securely from your iPhone—at home, at work, or while traveling. iMCBridge is a remote desktop app built for quick access to your personal computers. View the screen, move the pointer, click, scroll, and type from iPhone over Wi-Fi, 4G, or 5G. KEY FEATURES • Remote access to Mac and Windows PC • Direct peer-to-peer connection when available • Encrypted relay connection when direct access is unavailable • Switch quickly between multiple paired computers • Mouse movement, left click, right click, and scrolling • iPhone keyboard input • Pinch to zoom and two-finger horizontal navigation while zoomed • Monitor AI coding agents and open the right computer when attention is needed • Face ID protection when reconnecting • Screen streaming stops when the app moves to the background • Secure QR code pairing SETUP Install iMCBridge on your iPhone and the free companion app on the Mac or Windows PC you want to control. For the first pairing, connect the iPhone and computer to the same local Wi-Fi network and scan the QR code shown by the computer app. After pairing, connect from home, work, or mobile networks such as 4G and 5G. The computer must be powered on, signed in to a user account, and running iMCBridge. On Mac, Screen Recording and Accessibility permissions are required. iMCBridge does not bypass operating-system security or pre-login screens. Remote access is unavailable while the computer is powered off, signed out, or waiting for its first login after restart. iMCBridge Pro • Monthly plan: price shown in the App Store; no free trial • Annual plan: price shown in the App Store; eligible new subscribers receive a 7-day free trial The annual plan renews automatically after the trial unless canceled. Subscriptions can be managed or canceled in Apple Account settings. Privacy Policy: https://imcbridge-signaling.ommunity-orker.workers.dev/privacy Terms of Use: https://imcbridge-signaling.ommunity-orker.workers.dev/terms

Turn everyday waste into useful information for a cleaner environment. Blob helps you identify waste using on-device machine learning, explore reported waste on an interactive map, and contribute observations that help reveal local pollution patterns. **SCAN WASTE** Use your iPhone camera to scan waste around you. Blob analyzes images and identifies waste types, helping you understand what you have found. **AI POWERED RECOGNITION** Blob uses machine learning directly on your iPhone to recognize waste without relying entirely on remote AI services. Your device analyzes images, making waste identification accessible wherever you are. **EXPLORE THE MAP** Explore reported waste on an interactive map. See where litter has been reported and discover local patterns that may need more attention. **EVERY OBSERVATION COUNTS** Scan waste and contribute to Blob's growing environmental dataset. Every contribution helps build a clearer picture of waste in your community. **UNDERSTAND LOCAL POLLUTION** Explore the types of waste identified and the locations where observations have been recorded. This information can help communities recognize local pollution patterns and identify areas for future cleanup efforts. **STARTING IN ROMANIA, LOOKING TOWARD THE WORLD** Blob starts in Romania, with a vision of expanding internationally. The project aims to make waste identification and environmental monitoring accessible to communities around the world. **HOW IT WORKS** 1. Open Blob. 2. Point your iPhone camera at waste. 3. Scan the object. 4. Let Blob analyze and identify it. 5. Contribute your observation. 6. Explore reported waste on the map. **SUPPORTED BY ING BANK** Blob was developed with financial support from ING Bank through the Robotics and Programming Scholarship Fund, a program that supports young people developing projects in programming, robotics, and technology. **FROM EVERYDAY OBSERVATIONS TO ENVIRONMENTAL ACTION** A single piece of litter may seem insignificant, but many observations can reveal patterns that would otherwise be difficult to identify. Blob brings together machine learning, community observations, and environmental awareness to help people document waste and better understand pollution in the places where they live. We start in Romania. Together, we are building a cleaner future.